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For this challenge I built a mobile app called Field Signal, a field intelligence prototype for commercial real estate site visits.
It helps an investor or broker capture signals like visibility, access, tenant condition, and risk, then turns those observations into a live deal pulse and structured field memo.
How I used Stitch: I started in Google Stitch with streaming generation, used in place edits to refine the product flow and motion, and used a DESIGN.md file I prepared to keep the visual system tight across screens before pushing it into a live prototype through Google AI Studio.
Feedback: Stitch felt strongest as an iterative design partner. Streaming and in-place edits made it fast to move from concept to something that actually felt alive and interactive. Super useful & excited to see how this tool integrates with the creative process going forward!
Well executed
Wow, this is so nice!
This is amazing!
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Today I created a landing page for a productivity tool called Awake ai with just Google stitch and some inspiration from pinterest and behance.
It was a great experience seeing this come together.
I built KAIROPI for the Google Stitch Challenge - a playful ramen lifestyle brand that brings together food, sauce, stickers, motion, and colorful city culture.
How I Used Google Stitch
I started by creating a mood board to define how I wanted the website to feel the colors, hero direction, sticker style, typography, food visuals, and overall brand energy.
Then I brought that direction into Google Stitch and built the website step by step, from the hero section to the manifesto, bowls, sauce section, and footer. I kept iterating inside Stitch, using prompts and edits to refine the layout, copy, visual consistency, and interactions.
One of the most useful parts was being able to make changes without starting the whole page again. Once I understood the workflow, Stitch made it much faster to keep the design consistent.
Stitch Features Used
- AI-assisted interface generation
- In-place design edits
- Iterative prompt-based refinement
- Motion and interactive UI direction
- Visual workflow from mood board
My Experience Using Stitch
At first, I was a little confused because it was my first time using Stitch, but I found my way around pretty quickly.
Once I understood how to work with it, the process became much smoother. I really liked how I could keep the design consistent and ask the AI to make edits instead of regenerating everything from scratch.
Overall, Stitch felt fast, flexible, and useful for turning a clear creative vision. If you already know the feeling or direction you want, it becomes much easier to iterate and build quickly.
Yum! I love this
I used Google Stitch as the primary tool to design and build Sprout, a mobile habit tracker where every habit hatches a creature that grows with your streak. The entire project, five screens from onboarding to habit detail, was built using Stitch's streaming canvas generation, in-place AI editing, native HTML animation, and Netlify export.
My workflow was prompt driven. I wrote a detailed description for each screen, watched Stitch stream it to the canvas in real time, then used in-place edits to refine the creature illustrations, background colors, button shapes, and animation behaviors. The celebration screen and the dark habit detail screen went through the most iteration and the results exceeded what I expected from a single session.
On the platform experience, Stitch is genuinely fast and the streaming generation is satisfying to work with. The 3D creature illustrations it produced had real personality, I expected flat icons and got fully rendered characters. The main friction was component consistency, editing one element sometimes caused adjacent ones to regenerate, and the export works per screen rather than as a unified project. A component locking feature would make the workflow much smoother. Overall it is a strong tool and I can see it becoming a regular part of my prototyping workflow.
This is a really impressive use case for Stitch. The idea of tying habit tracking to creature growth makes the experience feel much more engaging and rewarding than traditional streak-based apps.
overall well thought Concept and then implementation 🙌
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